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🚨 API vs MCP: APIs are great. But MCP? Let's deep dive (<1min) 💡 So what’s the difference? Isn’t MCP just another API in disguise? Not quite. They look similar at first glance — but under the hood, MCP is purpose-built for modern AI and agenti

Greg Isenberg just shared 23 MCP STARTUP IDEAS TO BUILD IN 2025 (ai agents/ai/mcp ideas) and its amazing: "1. PostMortemGuy – when your app breaks (bug, outage), MCP agent traces every log, commit, and Slack message. Full incident report in seconds.

🚀 MCP Architecture: Powering Seamless AI Integration! ⚡ Imagine a world where your AI interacts effortlessly with remote services like Slack, Gmail and Calendar 📅 while also tapping into local data sources 💾 MCP (Multi-Component Processing) bridg

🚨 BREAKING: Anthropic just dropped the tutorial on "Building AI Agents with Claude Agent SDK" Here's what it covers: > Agent Loop Gather context → Take action → Verify work → Repeat. Your agent searches files, executes tasks, checks its output, t

Sharing a selection of AI courses I've mastered some of them, and others are in the backlog. HuggingFace Agent Course - https://huggingface.co/learn/agents-course/en/unit0/introduction MCP with Anthropic - https://www.deeplearning.ai/short-course

Cursor IDE vs TRAE IDE > Cursor - Free : Only on Auto Mode & GPT 4.1 Paid : Usage based pricing | $20/month > TRAE - Free : All models with Waiting on Que Requests. Paid : $3/month only for first month with 600 Requests on Premium Models like

Everyone wants to build AI agents these days. But very few actually understand what sits beneath the surface. Here’s the part most people ignore: AI agents are mostly software engineering - about 95%. The “AI” part is just the remaining 5%. All the

MCP – The Future Tech Everyone Will Use Tomorrow (Don't Get Left Behind!) -- Imagine you're playing a video game. You press a button, and the game shows your score. That button is like an API (Application Programming Interface). APIs help apps talk

5 Layers of AI Product Development. I've explained each in short, simple steps below. 1. 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗟𝗮𝘆𝗲𝗿 → Handles everything the user sees and interacts with → Ensures login security and smooth user experience → Stores session co

LLMs as Agents Large Language Models (LLMs) like *GPT*, *Claude*, or *Gemini* can act as intelligent. *What does it mean to be an agent?* An *LLM agent* can: • Understand a goal • Break it into steps • Use tools or APIs • Adapt based on c